Loading...
Loading...
Found 57 Skills
Execute a GRACE development plan in controller-managed parallel waves with selectable safety profiles, batched graph sync, and scoped reviews.
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.
AI-native software development lifecycle that replaces traditional SDLC. Triggers on "plan and build", "break this into tasks", "build this feature end-to-end", "sprint plan this", "absolute-human this", or any multi-step development task. Decomposes work into dependency-graphed sub-tasks, executes in parallel waves with TDD verification, and tracks progress on a persistent board. Handles features, refactors, greenfield projects, and migrations.
Query DTS (Data Transmission Service) task status and details across all Alibaba Cloud regions. **v12.1: Enhanced reliability** - Timeout increased to 10s, exponential backoff (0.2s, 0.4s) for better timeout handling. Parallel execution remains **6-8x faster** than v10 (39s → 6s with --workers 16). **API retry logic ensures consistent results (no count variations)**. Supports filtering by instance ID or job name. Automatically polls all 27 regions and 3 job types. Strictly filters for PrePaid/PostPaid tasks and outputs a full Chinese report with Region information. Tasks are grouped by type (Migration/Sync/Subscribe) and sorted by CreateTime within each group. **Use this skill when: checking DTS task status, finding migration/sync tasks, verifying task counts, or filtering tasks by instance ID or job name.**
Executes DAG waves with controlled parallelism using the Task tool. Manages concurrent agent spawning, resource limits, and execution coordination. Activate on 'execute dag', 'parallel execution', 'concurrent tasks', 'run workflow', 'spawn agents'. NOT for scheduling (use dag-task-scheduler) or building DAGs (use dag-graph-builder).
Autonomous multi-agent task orchestration with dependency analysis, parallel tmux/Codex execution, and self-healing heartbeat monitoring. Use for large projects with multiple issues/tasks that need coordinated parallel execution.
macOS system resource optimization with 40 specialized agents for memory, disk, CPU, and process management
FORGE + Agent Teams — Exploits Agent Teams for true parallel execution of FORGE agents. 3 patterns: pipeline (full pipeline with parallel stories), party (multi-agent debate), build (parallel story development). Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. Usage: /forge-team pipeline "objective" | /forge-team party "topic" | /forge-team build [STORY-IDs]
Tool use patterns for Claude including schema design, tool_choice modes, result handling, parallel execution, error recovery, and extended thinking integration.
This skill should be used when the user asks to "팀 구성해줘", "team assemble", "전문가 팀으로 해줘", "팀으로 해줘", "swarm", "병렬로 전문가 팀", or wants to decompose a complex task into specialist roles executed via TeamCreate. Also triggers when user describes a task clearly benefiting from parallel expert execution.
Build and deploy parallel execution via subagent waves, agent teams, and multi-wave pipelines. Use when the Decomposition Gate identifies 2+ independent actions or when spawning teams. NOT for single-action tasks or non-parallel work.
Use when planning or executing multi-wave parallel work on any project. Covers the execution framework, task registry, write-scope ownership, handoff rules, merge gates, and how to split safe parallel subagent work without collisions.